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ECML
2005
Springer
15 years 11 months ago
Active Learning for Probability Estimation Using Jensen-Shannon Divergence
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
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ICNC
2005
Springer
15 years 11 months ago
Parallel Genetic Algorithms on Programmable Graphics Hardware
Abstract. Parallel genetic algorithms are usually implemented on parallel machines or distributed systems. This paper describes how finegrained parallel genetic algorithms can be ...
Qizhi Yu, Chongcheng Chen, Zhigeng Pan
ICALT
2003
IEEE
15 years 11 months ago
A Metadata Model for Capturing Presentations
This paper describes the design of a metadata model for capturing presentations developed as part of the VACE project (Video and Audio Capturing and Embedding). VACE is a modular,...
Ralf Einhorn, Stephan Olbrich, Wolfgang Nejdl
ICML
2000
IEEE
15 years 10 months ago
Lightweight Rule Induction
We propose a new rule induction algorithm for solving classification problems via probability estimation. The main advantage of decision rules is their simplicity and good interp...
Sholom M. Weiss, Nitin Indurkhya
COLT
2000
Springer
15 years 10 months ago
Average-Case Complexity of Learning Polynomials
The present paper deals with the averagecase complexity of various algorithms for learning univariate polynomials. For this purpose an appropriate framework is introduced. Based o...
Frank Stephan, Thomas Zeugmann